CN109829875B - 用于估计视差的方法和装置 - Google Patents
用于估计视差的方法和装置 Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000001514 detection method Methods 0.000 claims description 22
- 230000004044 response Effects 0.000 claims description 12
- 238000012549 training Methods 0.000 description 30
- 239000000284 extract Substances 0.000 description 18
- 230000006870 function Effects 0.000 description 13
- 238000013528 artificial neural network Methods 0.000 description 12
- 238000010801 machine learning Methods 0.000 description 10
- 230000015654 memory Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 238000002372 labelling Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
- H04N13/106—Processing image signals
- H04N13/128—Adjusting depth or disparity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
- G06T7/593—Depth or shape recovery from multiple images from stereo images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N2013/0074—Stereoscopic image analysis
- H04N2013/0081—Depth or disparity estimation from stereoscopic image signals
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Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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KR10-2017-0157352 | 2017-11-23 | ||
KR1020170157352A KR102459853B1 (ko) | 2017-11-23 | 2017-11-23 | 디스패리티 추정 장치 및 방법 |
Publications (2)
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CN109829875A CN109829875A (zh) | 2019-05-31 |
CN109829875B true CN109829875B (zh) | 2023-10-27 |
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CN201810527546.0A Active CN109829875B (zh) | 2017-11-23 | 2018-05-28 | 用于估计视差的方法和装置 |
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Country | Link |
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US (1) | US10929998B2 (ja) |
EP (1) | EP3489898B1 (ja) |
JP (1) | JP7134012B2 (ja) |
KR (1) | KR102459853B1 (ja) |
CN (1) | CN109829875B (ja) |
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JP7393809B2 (ja) * | 2019-06-21 | 2023-12-07 | スリーアイ インク | 全方位画像情報に基づく自動位相マッピング処理方法及びそのシステムとコンピュータープログラム |
CN110427968B (zh) * | 2019-06-28 | 2021-11-02 | 武汉大学 | 一种基于细节增强的双目立体匹配方法 |
WO2021049281A1 (ja) * | 2019-09-12 | 2021-03-18 | 株式会社ソニー・インタラクティブエンタテインメント | 画像処理装置、ヘッドマウントディスプレイ、および空間情報取得方法 |
CN112991254A (zh) | 2019-12-13 | 2021-06-18 | 上海肇观电子科技有限公司 | 视差估计系统、方法、电子设备及计算机可读存储介质 |
US11127115B2 (en) | 2019-12-13 | 2021-09-21 | NextVPU (Shanghai) Co., Ltd. | Determination of disparity |
CN112991404A (zh) * | 2019-12-13 | 2021-06-18 | 上海肇观电子科技有限公司 | 视差确定方法、电子设备及计算机可读存储介质 |
US11694341B2 (en) * | 2019-12-23 | 2023-07-04 | Texas Instmments Incorporated | Cascaded architecture for disparity and motion prediction with block matching and convolutional neural network (CNN) |
US12069302B2 (en) | 2020-04-13 | 2024-08-20 | Intel Corporation | Texture based immersive video coding |
US11941084B2 (en) * | 2020-11-13 | 2024-03-26 | Google Llc | Self-supervised learning for anomaly detection and localization |
EP4256788A1 (en) * | 2020-12-04 | 2023-10-11 | Beijing Dajia Internet Information Technology Co., Ltd. | Network based image filtering for video coding |
DE102021107904A1 (de) * | 2021-03-29 | 2022-09-29 | Conti Temic Microelectronic Gmbh | Verfahren und System zur Bestimmung der Bodenebene mit einem künstlichen neuronalen Netz |
US11966454B2 (en) * | 2021-10-28 | 2024-04-23 | Shanghai United Imaging Intelligence Co., Ltd. | Self-contrastive learning for image processing |
CN115546515A (zh) * | 2022-08-31 | 2022-12-30 | 北京鉴智科技有限公司 | 一种深度信息获取方法和装置 |
CN117611648B (zh) * | 2023-12-04 | 2024-07-02 | 北京斯年智驾科技有限公司 | 一种图像深度估计方法、系统和存储介质 |
CN117576180B (zh) * | 2024-01-15 | 2024-03-26 | 常熟理工学院 | 基于自适应多尺度窗口的多视图深度估计方法及应用 |
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CN104662896A (zh) * | 2012-09-06 | 2015-05-27 | 诺基亚技术有限公司 | 用于图像处理的装置、方法和计算机程序 |
CN106887018A (zh) * | 2015-12-15 | 2017-06-23 | 株式会社理光 | 立体匹配方法、控制器和系统 |
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US7061489B2 (en) | 2003-08-15 | 2006-06-13 | Microsoft Corporation | Precomputed radiance transfer for rendering objects |
JP4532171B2 (ja) | 2004-06-01 | 2010-08-25 | 富士重工業株式会社 | 立体物認識装置 |
JP2008309529A (ja) | 2007-06-12 | 2008-12-25 | Panasonic Corp | ナビゲーション装置、ナビゲーション方法、及びナビゲーション用プログラム |
CA2729106A1 (en) | 2008-06-24 | 2009-12-30 | Thomson Licensing | System and method for depth extraction of images with motion compensation |
JP2012257198A (ja) * | 2011-05-17 | 2012-12-27 | Canon Inc | 立体画像符号化装置、その方法、および立体画像符号化装置を有する撮像装置 |
JP5127973B1 (ja) | 2011-10-21 | 2013-01-23 | 株式会社東芝 | 映像処理装置、映像処理方法および映像表示装置 |
EP3869797B1 (en) | 2012-08-21 | 2023-07-19 | Adeia Imaging LLC | Method for depth detection in images captured using array cameras |
WO2014049919A1 (ja) | 2012-09-27 | 2014-04-03 | パナソニック株式会社 | ステレオ画像処理装置およびステレオ画像処理方法 |
JP2014096062A (ja) | 2012-11-09 | 2014-05-22 | Yamaguchi Univ | 画像処理方法及び画像処理装置 |
EP2757524B1 (en) | 2013-01-16 | 2018-12-19 | Honda Research Institute Europe GmbH | Depth sensing method and system for autonomous vehicles |
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JP6523925B2 (ja) * | 2015-11-10 | 2019-06-05 | 株式会社日立製作所 | 生体情報を用いた認証装置及び認証方法 |
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2017
- 2017-11-23 KR KR1020170157352A patent/KR102459853B1/ko active IP Right Grant
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2018
- 2018-05-10 US US15/975,808 patent/US10929998B2/en active Active
- 2018-05-28 CN CN201810527546.0A patent/CN109829875B/zh active Active
- 2018-08-07 JP JP2018148377A patent/JP7134012B2/ja active Active
- 2018-08-14 EP EP18189033.6A patent/EP3489898B1/en active Active
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Also Published As
Publication number | Publication date |
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JP2019096294A (ja) | 2019-06-20 |
EP3489898A1 (en) | 2019-05-29 |
EP3489898B1 (en) | 2024-09-25 |
US10929998B2 (en) | 2021-02-23 |
JP7134012B2 (ja) | 2022-09-09 |
KR20190059594A (ko) | 2019-05-31 |
US20190156502A1 (en) | 2019-05-23 |
KR102459853B1 (ko) | 2022-10-27 |
CN109829875A (zh) | 2019-05-31 |
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